Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Browse the Knowledge Base!

Can computers learn to read? We think so. "Read the Web" is a research project that attempts to create a computer system that learns over time to read the web. Since January 2010, our computer system called NELL (Never-Ending Language Learner) has been running continuously, attempting to perform two tasks each day:

• First, it attempts to "read," or extract facts from text found in hundreds of millions of web pages (e.g., playsInstrument(George_Harrison, guitar)).
• Second, it attempts to improve its reading competence, so that tomorrow it can extract more facts from the web, more accurately.

So far, NELL has accumulated over 50 million candidate beliefs by reading the web, and it is considering these at different levels of confidence. NELL has high confidence in 2,810,379 of these beliefs — these are displayed on this website. It is not perfect, but NELL is learning. You can track NELL's progress below or @cmunell on Twitter, browse and download its knowledge base, read more about our technical approach, or join the discussion group.

Recently-Learned Facts

instance	iteration	date learned	confidence
center_butter is a sports team position	1111	06-jul-2018	99.3
william_skinner is a scientist	1111	06-jul-2018	100.0
dog_door is an item often found in a hallway	1111	06-jul-2018	100.0
n1980_school_election is an election	1111	06-jul-2018	93.2
n1996_toyota_corolla is a model of automobile	1111	06-jul-2018	90.8
museum_of_jewish_heritage is a museum in the city new_york	1116	12-sep-2018	100.0
spider_mites is an arthropod as well as insects also is	1111	06-jul-2018	99.9
wannsee_conference happened on the date january_1942	1116	12-sep-2018	100.0
weather is an organization dissolved at the date march	1113	15-aug-2018	93.8
good_housekeeping is related to steve_swartz	1114	25-aug-2018	100.0